René De Mot

8.2k total citations
135 papers, 4.9k citations indexed

About

René De Mot is a scholar working on Molecular Biology, Plant Science and Ecology. According to data from OpenAlex, René De Mot has authored 135 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Molecular Biology, 59 papers in Plant Science and 34 papers in Ecology. Recurrent topics in René De Mot's work include Genomics and Phylogenetic Studies (30 papers), Plant-Microbe Interactions and Immunity (25 papers) and Plant Pathogenic Bacteria Studies (25 papers). René De Mot is often cited by papers focused on Genomics and Phylogenetic Studies (30 papers), Plant-Microbe Interactions and Immunity (25 papers) and Plant Pathogenic Bacteria Studies (25 papers). René De Mot collaborates with scholars based in Belgium, Germany and France. René De Mot's co-authors include Maarten G. K. Ghequire, Jos Vanderleyden, István Nagy, Annabel Parret, Geert Schoofs, H. Verachtert, Adinda de Schrijver, Hans Rediers, Dirk Springael and Paul Proost and has published in prestigious journals such as Nucleic Acids Research, Environmental Science & Technology and PLoS ONE.

In The Last Decade

René De Mot

133 papers receiving 4.8k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
René De Mot Belgium 41 2.6k 1.7k 816 717 652 135 4.9k
John Davison United States 29 2.0k 0.8× 744 0.4× 771 0.9× 416 0.6× 766 1.2× 79 3.6k
Josef Altenbuchner Germany 45 3.8k 1.4× 701 0.4× 819 1.0× 466 0.6× 1.3k 1.9× 131 5.1k
María‐Trinidad Gallegos Spain 33 3.4k 1.3× 873 0.5× 1.0k 1.2× 474 0.7× 2.1k 3.3× 67 5.3k
Yue‐zhong Li China 32 2.1k 0.8× 635 0.4× 755 0.9× 202 0.3× 421 0.6× 221 3.6k
D. Steven Hill United States 15 2.1k 0.8× 1.4k 0.8× 485 0.6× 456 0.6× 648 1.0× 18 4.0k
Paul Broda United Kingdom 30 2.7k 1.0× 2.2k 1.3× 785 1.0× 365 0.5× 1.2k 1.8× 97 5.1k
Friedhelm Meinhardt Germany 32 2.6k 1.0× 957 0.6× 665 0.8× 180 0.3× 788 1.2× 138 3.6k
John P. Morrissey Ireland 45 3.5k 1.3× 2.1k 1.2× 683 0.8× 216 0.3× 307 0.5× 115 6.3k
Mark A. Schell United States 40 3.0k 1.2× 2.5k 1.5× 930 1.1× 466 0.6× 1.2k 1.8× 72 6.5k
David Vallenet France 34 2.8k 1.1× 891 0.5× 996 1.2× 388 0.5× 883 1.4× 62 4.8k

Countries citing papers authored by René De Mot

Since Specialization
Citations

This map shows the geographic impact of René De Mot's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by René De Mot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites René De Mot more than expected).

Fields of papers citing papers by René De Mot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by René De Mot. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by René De Mot. The network helps show where René De Mot may publish in the future.

Co-authorship network of co-authors of René De Mot

This figure shows the co-authorship network connecting the top 25 collaborators of René De Mot. A scholar is included among the top collaborators of René De Mot based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with René De Mot. René De Mot is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zhou, Lu, René De Mot, Monica Höfte, et al.. (2024). Breaking Cycles: Saponification‐Enhanced NMR Fingerprint Matching for the Identification and Stereochemical Evaluation of Cyclic Lipodepsipeptides from Natural Sources. Chemistry - A European Journal. 30(49). e202400667–e202400667.
2.
Zhou, Lu, Léa Girard, Monica Höfte, et al.. (2023). Stereomeric Lipopeptides from a Single Non-Ribosomal Peptide Synthetase as an Additional Source of Structural and Functional Diversification in Pseudomonas Lipopeptide Biosynthesis. International Journal of Molecular Sciences. 24(18). 14302–14302. 6 indexed citations
3.
Geudens, Niels, et al.. (2023). Charting the Lipopeptidome of Nonpathogenic Pseudomonas. mSystems. 8(1). e0098822–e0098822. 18 indexed citations
4.
Vleeschouwer, Matthias De, Léa Girard, Monica Höfte, et al.. (2022). An Nuclear Magnetic Resonance Fingerprint Matching Approach for the Identification and Structural Re-Evaluation of Pseudomonas Lipopeptides. Microbiology Spectrum. 10(4). e0126122–e0126122. 16 indexed citations
5.
6.
Mot, René De, et al.. (2018). Draft Genome Sequence of Pseudomonas gingeri Strain LMG 5327, the Causative Agent of Ginger Blotch in Agaricus bisporus. Genome Announcements. 6(13). 3 indexed citations
7.
Ghequire, Maarten G. K. & René De Mot. (2017). Turning Over a New Leaf: Bacteriocins Going Green. Trends in Microbiology. 26(1). 1–2. 22 indexed citations
8.
Ghequire, Maarten G. K., et al.. (2013). Antibacterial activity of a lectin‐like Burkholderia cenocepacia protein. MicrobiologyOpen. 2(4). 566–575. 14 indexed citations
9.
Li, Wen, Paulina Estrada‐de los Santos, Sandra Matthijs, et al.. (2011). Promysalin, a Salicylate-Containing Pseudomonas putida Antibiotic, Promotes Surface Colonization and Selectively Targets Other Pseudomonas. Chemistry & Biology. 18(10). 1320–1330. 52 indexed citations
10.
Mot, René De. (2007). Bacteriocins of plant-associated bacteria and their potential as biocontrol agents against phytopathogens. Lirias (KU Leuven). 1 indexed citations
11.
Nagy, István, Tomohiro Tamura, Geert Schoofs, et al.. (2003). Characterization of a Novel Intracellular Endopeptidase of the α/β Hydrolase Family from Streptomyces coelicolor A3(2). Journal of Bacteriology. 185(2). 496–503. 9 indexed citations
12.
Dommelen, Anne Van, René De Mot, & Jos Vanderleyden. (2001). Ammonium transport: unifying concepts and unique aspects. Australian Journal of Plant Physiology. 28(9). 959–967. 9 indexed citations
13.
Schrijver, Adinda de & René De Mot. (1999). Degradation of Pesticides by Actinomycetes. Critical Reviews in Microbiology. 25(2). 85–119. 96 indexed citations
14.
Zühl, Frank, Tomohiro Tamura, Iztok Dolenc, et al.. (1997). Subunit topology of the Rhodococcus proteasome. FEBS Letters. 400(1). 83–90. 54 indexed citations
15.
Lupas, Andrei N., Frank Zühl, Tomohiro Tamura, et al.. (1997). Eubacterial proteasomes. Molecular Biology Reports. 24(1-2). 125–131. 46 indexed citations
16.
Mot, René De, István Nagy, Geert Schoofs, & Jos Vanderleyden. (1994). Sequences of the cobalamin biosynthetic genes cobK, cobL and cobM from Rhodococcus sp. NI86/21. Gene. 143(1). 91–93. 11 indexed citations
17.
Mot, René De, Paul Proost, Jo Van Damme, & Jozef Vanderleyden. (1992). Homology of the root adhesin of Pseudomonas fluorescens OE 28.3 with porin F of Pseudomonas aeruginosa and Pseudomonas syringae. Molecular Genetics and Genomics. 231. 1 indexed citations
18.
Mot, René De. (1991). Purification of a root-adhesive outer membrane protein of root-colonizing Pseudomonas fluorescens. FEMS Microbiology Letters. 81(3). 323–327. 27 indexed citations
19.
Verachtert, H. & René De Mot. (1990). Yeast : biotechnology and biocatalysis. M. Dekker eBooks. 86 indexed citations
20.
Mot, René De, Koen Andries, & H. Verachtert. (1984). Comparative Study of Starch Degradation and Amylase Production by Ascomycetous Yeast Species. Systematic and Applied Microbiology. 5(1). 106–118. 61 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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